News
ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs
arXiv:2502.00258v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have demonstrated exceptional performance in natural...
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
arXiv:2509.05309v2 Announce Type: replace-cross Abstract: Sparse Autoencoder (SAE) has emerged as a powerful tool for...
ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs
arXiv:2506.15211v1 Announce Type: new Abstract: Recent advances in Large Reasoning Models (LRMs) trained with Long...
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
arXiv:2502.18509v2 Announce Type: replace-cross Abstract: Conversational agents are increasingly woven into individuals’ personal lives, yet...
Propaganda AI: An Analysis of Semantic Divergence in Large Language Models
arXiv:2504.12344v2 Announce Type: replace Abstract: Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common...
Pronunciation-Lexicon Free Training for Phoneme-based Crosslingual ASR via Joint Stochastic Approximation
arXiv:2507.06249v1 Announce Type: cross Abstract: Recently, pre-trained models with phonetic supervision have demonstrated their advantages...
PromptCanvas: Composable Prompting Workspaces Using Dynamic Widgets for Exploration and Iteration in Creative Writing
arXiv:2506.03741v1 Announce Type: cross Abstract: We introduce PromptCanvas, a concept that transforms prompting into a...
Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
arXiv:2511.01016v3 Announce Type: replace Abstract: Recently, advanced large language models (LLMs) have emerged at an...
Prompt Optimization as a State-Space Search Problem
arXiv:2511.18619v1 Announce Type: new Abstract: Language Models are extremely susceptible to performance collapse with even...
Prompt engineering does not universally improve Large Language Model performance across clinical decision-making tasks
arXiv:2512.22966v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated promise in medical knowledge...
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
arXiv:2509.26574v3 Announce Type: replace-cross Abstract: While large language models (LLMs) with reasoning capabilities are progressing...
Probing Neural Topology of Large Language Models
arXiv:2506.01042v3 Announce Type: replace Abstract: Probing large language models (LLMs) has yielded valuable insights into...
